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Design of Real-Time Computer-Based Systems Using Developmental Genetic Programming

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Handbook of Genetic Programming Applications

Abstract

This chapter presents applications of the developmental genetic programming (DGP) to design and optimize real-time computer-based systems. We show that the DGP approach may be efficiently used to solve the following problems: scheduling of real-time tasks in multiprocessor systems, hardware/software codesign of distributed embedded systems, budget-aware real-time cloud computing. The goal of optimization is to minimize the cost of the system, while all real-time constraints will be satisfied. Since the finding of the best solution is very complex, only efficient heuristics may be applied for real-life systems. Unlike the other genetic approaches where chromosomes represent solutions, in the DGP chromosomes represent system construction procedures. Thus, not the system architecture, but the synthesis process evolves. Finally, a tree describing the construction of a (sub-)optimal solution is obtained and the genotype-to-phenotype mapping is applied to create the target system. Some other ideas concerning other applications of the DGP for optimization of computer-based systems also are outlined.

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Authors and Affiliations

  1. Kielce University of Technology, Kielce, Poland

    Stanisław Deniziak, Leszek Ciopiński & Grzegorz Pawiński

Authors
  1. Stanisław Deniziak
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  2. Leszek Ciopiński
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  3. Grzegorz Pawiński
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Corresponding author

Correspondence to Stanisław Deniziak .

Editor information

Editors and Affiliations

  1. BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, Michigan, USA

    Amir H. Gandomi

  2. Department of Civil & Environmental Engineering, Michigan State University, East Lansing, Michigan, USA

    Amir H. Alavi

  3. Department of Computer Science and Information Systems, University of Limerick, Limerick, Limerick, Ireland

    Conor Ryan

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Deniziak, S., Ciopiński, L., Pawiński, G. (2015). Design of Real-Time Computer-Based Systems Using Developmental Genetic Programming. In: Gandomi, A., Alavi, A., Ryan, C. (eds) Handbook of Genetic Programming Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-20883-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-20883-1_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20882-4

  • Online ISBN: 978-3-319-20883-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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